Some code to Get the Optimal relative Transport started. This will be slowly updated if needed.
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Updated
Jun 4, 2023 - Julia
Some code to Get the Optimal relative Transport started. This will be slowly updated if needed.
Project to get attention from discriminator: 1st combination
Bisimulation Critic for Reinforcement Learning
Wasserstein-1 Estimation using Kantorovich-Rubinstein Duality
Image to Image translation using conditional GANs with Wasserstein loss and gradient penalty
Code for the paper: Wasserstein enabled Bayesian optimization of composite functions.
This repository contains some code for demonstrating the application of Wasserstein GANs (WGANs)
Code for the paper: Intrusion Detection in Networks by Wasserstein Enabled Many-Objective Evolutionary Algorithms.
Optimization of Stochastic Differential Equation Solver for Particle Data Set Generation using Fast Point Cloud Diffusion (FPCD) model.
PyTorch Wrapper for Earth-Mover-Distance (EMD) for 3D point cloud regression
A matlab toolbox to perform Wasserstein Dictionary Learning or NMF
This repository contains the code for some blog posts on the Wasserstein metric. For further details, please refer to the corresponding posts.
Computational optimal transport
A python module for fast calculation of the wasserstein distance on tree metrics implemented in C++.
Added Gradient penalty and feedback to the Generator from Discriminator
Keras-based Implementation for "SARS-CoV-2 Detection: Radiology based Multi-modal Multi-task Framework" (Accepted in 45th IEEE EMBC 2k23)
Code of numerical experiments in Master's thesis [TBD]
A Graph Optimal Transport Python Package
Open-set detection using Wasserstein Distance and Spectral Normalisation
Employing Optimal Transport metrics for Point Cloud Registration
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